Use case – Linkurioushttps://linkurio.us
Linkurious is an on-premise graph visualization software that helps uncover hidden threats and opportunities from anti-money laundering to cyber-security.Fri, 10 Aug 2018 14:04:28 +0000en-UShourly1https://wordpress.org/?v=4.7.5Graph-based intelligence analysishttps://linkurio.us/blog/graph-based-intelligence-analysis/
https://linkurio.us/blog/graph-based-intelligence-analysis/#respondThu, 02 Aug 2018 15:11:12 +0000https://linkurio.us/?p=6582For decades, the intelligence community has been collecting and analyzing information to produce timely and actionable insights for intelligence consumers. But as the amount of information collected increases, analysts are facing new challenges in terms of data processing and analysis. In this article, we explore the possibilities that graph technology is offering for intelligence analysis. […]

]]>https://linkurio.us/blog/graph-based-intelligence-analysis/feed/0Fighting eCommerce fraud with graph technologyhttps://linkurio.us/blog/fight-ecommerce-fraud-graph-technology/
https://linkurio.us/blog/fight-ecommerce-fraud-graph-technology/#commentsWed, 09 Aug 2017 13:02:06 +0000https://linkurio.us/?p=5727Ecommerce fraud is growing quickly, creating new challenges in terms of prevention and detection. As merchants gather more and more information about customers and their behaviors, the key element in the fight against fraud is now to draw on the connections within the data collected to uncover fraudulent behaviors. In this post, we explain why […]

]]>https://linkurio.us/blog/fight-ecommerce-fraud-graph-technology/feed/1Graph-based Enterprise Architecture Managementhttps://linkurio.us/blog/graph-enterprise-architecture/
https://linkurio.us/blog/graph-enterprise-architecture/#commentsThu, 18 May 2017 15:22:32 +0000https://linkurio.us/?p=5397Part of this article was initially published on Neo4j’s blog. Today, Enterprise architects are required to deliver insights quickly and make sense of large amounts of enterprise data (business knowledge, application information, technology assets, etc). In this context, understanding and modeling interdependencies between entities is key. With relationships at the center of their model, graph […]

]]>https://linkurio.us/blog/reinforcing-aml-graph-technologies/feed/0Using graphs for intelligence analysishttps://linkurio.us/blog/using-graphs-for-intelligence-analysis/
https://linkurio.us/blog/using-graphs-for-intelligence-analysis/#respondTue, 29 Nov 2016 11:15:26 +0000https://linkurio.us/?p=4834The identification and monitoring of terrorist or criminal networks are imperatives to detect threats and defeat attacks. Let’s see how Linkurious and graph visualizations can help identify and track potential dangerous individuals and networks. Challenges for intelligence analysis Criminal or terrorist activities are rarely the acts of isolated individuals. Behind these activities we find more or less […]

]]>https://linkurio.us/blog/using-graphs-for-intelligence-analysis/feed/0Graph data visualisation for cyber-security threats analysishttps://linkurio.us/blog/graph-data-visualisation-cyber-security-threats-analysis/
https://linkurio.us/blog/graph-data-visualisation-cyber-security-threats-analysis/#respondWed, 13 Jul 2016 11:58:17 +0000https://linkurio.us/?p=4530 In this blog post, we will offer an overview on how to deal with Security information and event management/log management (SIEM/LM) data overflow. Let’s see how Linkurious’ advanced graph visualisation solution helps easily identify and investigate cyber-security threats. Switching to a data lake architecture is often a required first step for analysts who wish to use graph […]

]]>https://linkurio.us/blog/graph-data-visualisation-cyber-security-threats-analysis/feed/0Investigating Enron’s email corpus: The trail of Tim Beldenhttps://linkurio.us/blog/investigating-the-enron-email-dataset/
https://linkurio.us/blog/investigating-the-enron-email-dataset/#commentsMon, 13 Jun 2016 12:58:16 +0000https://linkurio.us/?p=4414In fraud and white collar crimes, forensic investigators often have to go through massive amounts of complex connected data to gather proofs and evidence for their cases. In the recent years, the development of graph databases and data visualization tools have made it much easier to quickly find information that would have taken days to […]

]]>https://linkurio.us/blog/investigating-the-enron-email-dataset/feed/1Insurance Fraud Investigation using Linkurioushttps://linkurio.us/blog/using-linkurious-to-investigate-insurance-fraud/
https://linkurio.us/blog/using-linkurious-to-investigate-insurance-fraud/#respondTue, 22 Mar 2016 13:22:29 +0000https://linkurio.us/?p=4206In the US alone, insurance fraud cost companies around 80 billion dollars each year. Being able to detect fraud schemes before the fraudsters have been able to access the funds they’re trying to steal is a major advantage for insurance companies and their customers. Nevertheless, the detection and investigation processes remain difficult for these institutions. […]

]]>https://linkurio.us/blog/wind-prospect-operations-improved-market-intelligence-linkurious/feed/0Organizational network analysis with Linkurioushttps://linkurio.us/blog/organizational-network-analysis-with-linkurious/
https://linkurio.us/blog/organizational-network-analysis-with-linkurious/#commentsMon, 07 Sep 2015 12:31:55 +0000https://linkurio.us/?p=3737Graph visualization can be used to understand how an organization works. It reveals the connections between people, the flow of information that makes an organization tick. We talked in the past about interesting approaches to organizational network analysis but it’s rare to find real life datasets. The exception being the Enron mail communications which are available as a result of the […]